Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Wai Teng Tang"'
Publikováno v:
Neurocomputing. 396:514-521
This work involves the development of a computer method to perform automatic graphical prescription in brain MR scanning. The approach is based on multi-task deep neural networks that perform automatic detection of the anterior commissures (AC) and p
Autor:
Chuping Qu, Xuan Wang, Tao Luo, Wai Teng Tang, Rick Siow Mong Goh, Matthew Lee, Weng-Fai Wong
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39:438-450
Neuromorphic chip with RRAM devices has been demonstrated as a promising computing platform for neural network-based applications. By directly mapping the weight matrices of neural networks onto RRAM-based crossbar arrays, high energy, and area effic
Autor:
Weng-Fai Wong, Tao Luo, Matthew Lee, Wai Teng Tang, Rick Siow Mong Goh, Yingnan Cui, Jun Zhou, Thannirmalai Somu
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 15:1-24
Advances in non-volatile resistive switching random access memory (RRAM) have made it a promising memory technology with potential applications in low-power and embedded in-memory computing devices owing to a number of advantages such as low-energy c
Autor:
Dayou Du, Mian Lu, Qian Li, Rick Siow Mong Goh, Yun Liang, Wai Teng Tang, Huynh Phung Huynh, Xinfeng Xie, Zhong Liang Ong
Publikováno v:
ACM Transactions on Embedded Computing Systems. 17:1-25
Convolutional neural networks (CNNs) are widely employed in many image recognition applications. With the proliferation of embedded and mobile devices, such applications are becoming commonplace on mobile devices. Network pruning is a commonly used s
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36:2106-2119
Sparse matrix-vector multiplication (SpMV) is one of the most important kernels for many applications. In this paper, we study the implementation of SpMV for scale-free matrices on many-core architectures including graphic processing units and Xeon P
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 26:2373-2385
Sparse matrix-vector multiplication (SpMV) is an important kernel that is used in many iterative algorithms for solving scientific and engineering problems. One of the main challenges of SpMV is its memory-boundedness due to the low arithmetic intens
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 26:1789-1799
Directive-based programming approaches such as OpenMP and OpenACC have gained popularity due to their ease of programming. These programming models typically involve adding compiler directives to code sections such as loops in order to parallelize th
Publikováno v:
CinC
Deep learning has been integrated into several existing left ventricle (LV) endocardium segmentation methods to yield impressive accuracy improvements. However, challenges remain for segmentation of LV epicardium due to its fuzzier appearance and com
Autor:
Gary Lee, Jia Mei Hong, Zhenzhou Wu, Si Yong Yeo, Brendan Pang, Yi Su, Sum Thai Wong, Wai Teng Tang, Sulin Chen, Xulei Yang, Andre Choo, Vanessa Ding
Publikováno v:
Biomedical Engineering.
Autor:
Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh
Publikováno v:
2015 IEEE/ACM International Symposium on Code Generation and Optimization (CGO).